Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.
Technology/Role/Department at Morgan Stanley
Resiliency Engineering is a production-oriented discipline focused on improving service availability,
latency, scalability, performance, and efficiency for technology products in Morgan Stanley. Our core infrastructure processes hundreds of millions of transactions and we serve assets of more than a trillion dollars daily. If this scale resonates with you, come join us.
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We are transforming ourselves to grow Resiliency Engineering team as part of our expansion.
We would like to talk to you if you:
Are keen on building web based end to end solutions for enabling resiliency and chaos experiments.
Are interested in distributed systems and working with highscale services.
Like to work in a fast-moving environment and you aren't afraid to change things to make them better.
Enjoy new technological challenges and solving hard problems.
Believe that a team working well together is truly smarter than the single smartest person on that team.
Aspire to grow as a person, as a teammate, and as an engineer.
Have Grit, drive and a deep feeling of ownership.
Your Responsibilities Include but Are Not Limited To:
Designing and implementing web based platforms for resiliency workbench.
Understanding application environment footprint, re-platforming and preparing them for chaos/resiliency exercise.
Using tools like Terraform to automate environment orchestration.
You will work closely with engineering/development teams to design, build, and maintain systems and help them decide on products to use, schema design and query tuning.
You will troubleshoot issues across the entire stack:
hardware, software, application and network.
You will identify and drive opportunities to improve automation for resiliency; scope and create automation for deployment, management of environments and executing chaos experiments.
Background in Computer Science equivalent to a B.Sc. Equivalent practical experience(5-7 years) is a reasonable substitute.
Good knowledge of Data Structures, Algorithm complexities and Distribute Software Design Patterns
Good understanding of Unix and Linux operating system level concepts
Experience in software development using Python/Go & bash for scripting.
Hands-on experience with web UI designing and development using Angular.
Any experience on automation/configuration management systems like Puppet, Chef, Ansible is an advantage.
Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, Docker) etc and data streaming technologies like Spark, Kafka etc.
Hands on experience with Cloud tools such as HashiCorps Terraform, Consul, Vagrant and monitoring using ELK, Prometheus Grafana.
Awareness of, and ability to reason about modern software & systems architectures, including load-balancing, queueing, caching, distributed systems, micro services, and so on.
Operating system level concepts awareness such as processes, memory allocation, and the network stack
Practical experience/exposure to designing large scale online systems is always an advantage.
IT Software :
Software Products & Services
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